We drawF α,t andδ α,i from independent standard normal distributions, holding their values fixed acrossR= 10,000 replications

More specifically, we setλ α,i =δ α,i − ¯δα + (−1,1) ′ for treated units 23 (i∈ T) andF α,t =f α,t − ¯f α + (1,2) ′ for all post-treatment periods (t > T 0), where ¯δα = 1 N1 P i∈T δα,i, ¯F α = 1 T1 P t>T0 F α,t · 2017

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Treatment-effect heterogeneity and interactive fixed effects: Can we control for too much?

econ.EM · 2026-04-29 · accept · novelty 6.0

Interactive fixed effects estimators bias the average treatment effect on the treated if treatment heterogeneity has a linear factor structure, due to absorption and potential multicollinearity.

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Treatment-effect heterogeneity and interactive fixed effects: Can we control for too much? econ.EM · 2026-04-29 · accept · none · ref 7
Interactive fixed effects estimators bias the average treatment effect on the treated if treatment heterogeneity has a linear factor structure, due to absorption and potential multicollinearity.

We drawF α,t andδ α,i from independent standard normal distributions, holding their values fixed acrossR= 10,000 replications

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